2 citations · 4 across the 12 of their papers we have counts for
5 papers · 1 filter
Human-AI Collaboration for Estimating Scientific Replicability
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton +7
Determining whether published scientific findings can successfully be replicated is a long-standing challenge in the empirical sciences. Existing approaches for replicability asses…
Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation
Xinyu Wang, Sai Koneru, Wenbo Zhang +3
Recent advances in large language models (LLMs) have enabled the large-scale generation of highly fluent and deceptive news-like content. While prior work has often treated fake ne…
Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
Sai Koneru, Jian Wu, Sarah Rajtmajer
Extracting hypotheses and their supporting statistical evidence from full-text scientific articles is central to the synthesis of empirical findings, but remains difficult due to d…
Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
Sai Koneru, Elphin Joe, Christine Kirchhoff +2
In contested domains, instruction-tuned language models must balance user-alignment pressures against faithfulness to the in-context evidence. To evaluate this tension, we introduc…
ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
Bang Nguyen, Dominik Soós, Qian Ma +8
The literature has witnessed an emerging interest in AI agents for automated assessment of scientific papers. Existing benchmarks focus primarily on the computational aspect of thi…